Yazar "Demircioğlu, Emre" seçeneğine göre listele

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    A hybrid machine learning and fuzzy inference approach with UAV for indoor virus contamination risk
    (2023) Çakır, Esra; Erdi, Furkan; Demircioğlu, Emre; Taş, Mehmet Ali
    With the impact of the Covid-19 pandemic in 2020, major established health rituals were forced to transform. The most well-known of these is the medical mask, which is widely used and required to be worn in designated areas. Although pandemic regulations have been relaxed recently, health authorities agree that wearing masks, especially in closed areas, is a life-saving measure. Proper use of face masks is one of the most effective, easy and inexpensive actions to prevent the rapid spread of viruses indoors. By examining the use of masks in closed areas, the risk of transmission of the virus can be analyzed, and the measures can be determined correctly. Taking advantage of up-to-date technological equipment and approaches are important tools for making these determinations accurately and easily. In this study, the risk of indoor virus transmission from mask wearing styles is analyzed with an integrated method that includes Machine Learning (ML) and Fuzzy Inference System (FIS) approach. In order to achieve this, images taken from the camera of the Unmanned Aerial Vehicle (UAV), which is one of the current technologies suitable for contactless, mobile operations, were used. While determining the mask wearing status with the help of machine learning over the images, the ambient temperature and the mask wearing ratio gave the risk results with the fuzzy inference system. The results are intended to guide decision makers in identifying and implementing measures to reduce and prevent the spread of the virus indoors.
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    Intuitionistic Fuzzy Selected Element Reduction Approach (IF-SERA) on Service Quality Evaluation of Digital Suppliers
    (Springer Science and Business Media Deutschland GmbH, 2022) Çakır, Esra; Taş, Mehmet Ali; Demircioğlu, Emre
    In the application of fuzzy multi-criteria decision-making methods, criteria weights directly affect the evaluation. The methods in the literature are used to calculate the weights of subjective or objective criteria with various techniques. In addition to these methods, the effect of criteria reduction on weighting can be investigated for fuzzy decisions. This study developed a new method for weighting criteria in decision-making problems in intuitionistic fuzzy environment. The Intuitionistic Fuzzy Selected Element Reduction Approach (IF-SERA) is based on the change caused by the reduction of a criterion in an intuitionistic fuzzy decision matrix. The evaluations of decision-makers are used to determine the overall ranking. The influence of a chosen criterion on the findings is then determined by eliminating it from the evaluation. As a result, the criterion that causes the most change is assigned the most weight. The approach yields results that are directly proportional to the criterion weights. With the implementation of the service quality evaluation for digital suppliers, the novel fuzzy weighting approach is introduced to the literature. © 2022, Springer Nature Switzerland AG.